26 parallel-processing-bioinformatics positions at Lawrence Berkeley National Laboratory
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prepared to provide documentation during the clearance process. Required Application Materials: Curriculum Vitae Cover Letter - Briefly describing the candidate's background, previous research experience as
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accessible gate-based quantum computer. Our technology platform is based on superconducting quantum circuit processors, and we aim to generate the detailed experimental findings needed to resolve foundational
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to fundamental hydrological, mechanical and biogeochemical processes in soils, sediments and rocks. Setup and conduct laboratory analysis of geomaterial samples. Conduct data processes, analytics and communicate
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-stack quantum processing units (QPUs). Develop and validate performance bounds for QPUs beyond brute-force classical simulability. Design and conduct experiments on contemporary quantum hardware platforms
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algorithms to improve the performance of scientific applications Researching digital and post-digital computer architectures for science Developing and advancing extreme-scale scientific data management
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interfaces for thermal studies. Analyze data and automate repeatable parts of fabrication, measurement, and post-processing (Python). Maintain and improve experimental setups; coordinate repairs, vendor
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team of quantum algorithm developers, physicists, mathematicians and computer scientists that will design and deliver novel algorithms, error mitigation and compiling techniques for DOE relevant science
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quantum computer control systems. Assist in developing and testing PCB boards. What is Required: Ph.D. degree in physics, applied physics, electrical engineering, or a related field within the last 3 years
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teams by transforming conceptual ideas into complete 3D Computer-Aided Design (CAD) models and detailed 2D drawings. These models and drawings are critical to the manufacturing, fabrication, and
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-design validation experiments with experimentalists; iterate models using feedback from new measurements. Automate the workflow: Build Python workflows for simulation and data processing, including HPC job